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Causal Academy/Causal Inference with Linear Regression
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  • €289

Causal Inference with Linear Regression

  • Bundle
  • 2 Products

This bundle combines Part I and Part II of the linear regression course series and is designed to build a deep understanding of causal inference with linear regression, covering both theoretical foundations such as graph theory and linear structural causal models, and applied workflows including sensitivity analysis to unobserved confounding, positivity diagnostics and double machine learning based on LASSO and OLS.
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Contents

  • €99

Causal Inference with Linear Regression: A Modern Approach (Part I)

  • Course
  • 97 Lessons

Learn how linear regression can be used as an estimation tool in causal inference. Understand what regression coefficients represent, under which assumptions they can be interpreted as causal effects, how violations of unconfoundedness affect results, and how to use robustness tests and sensitivity analysis to assess and cope with these violations.
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  • €999

Causal Inference with Linear Regression: A Modern Approach (Part II)

  • Course
  • 112 Lessons

An applied course on causal inference using modern linear regression approaches, focused on real-world complexity. Learn how to design studies, construct realistic causal graphs, map them to adjustment strategies under realistic data constraints, diagnose conditions like positivity, and estimate (heterogeneous) causal effects using OLS and double machine learning, demonstrated through an end-to-end case study.
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